The integration of wearable technology and smart textiles has substantially advanced the development of radio-frequency (RF) electronics embedded in textile substrates, opening new opportunities across health monitoring, environmental sensing, and wireless communication. Despite their established performance, conventional rigid RF systems face inherent limitations in conformability and seamless integration within wearable platforms. This review comprehensively summarizes recent progress in textile-based RF active devices, encompassing reconfigurable antennas, tunable metasurfaces, and multifunctional RF systems. We emphasize the transition from isolated components to fully integrated, intelligent platforms capable of energy harvesting, low-power communication, and distributed sensing while proposing solution strategies and future development directions for enriched and systematic performance. Critical technical challenges such as high-precision fabrication, tunable RF response, and architecture design for complex systems are thoroughly discussed. Ultimately, this review outlines promising pathways toward autonomous, adaptive, and intelligently networked textile RF systems, highlighting the convergence of wireless functionality and system-level co-design for the next generation of wearable electronics.
| 1. | Materials: Although conductive fibers and textile-compatible substrates have enabled the integration of RF components into fabrics, challenges remain in balancing electrical performance with mechanical strength and comfort. Conductive yarns often suffer from instability under repeated bending, while low-loss dielectric textiles often exhibit excessively low permittivity, which hinders device miniaturization and RF matching. Future work should focus on designing composite fibers with improved conductivity, mechanical durability, and resistance to sweat and washing. Multifunctional textiles that combine breathability, waterproofing, and EM stability will be key to achieving robust and truly wearable RF platforms that support the evolution from externally mounted to stitch-embedded systems. |
| 2. | Fabrication: Existing fabrication strategies, including embroidery, printing, pasting, and photolithography, offer a diverse toolkit with respective advantages for different integration levels, but their resolution and reliability often lag behind those of conventional electronics. Hybrid interconnects and multilayer circuits on porous textiles face issues of long-term adhesion. Looking ahead, scalable high-precision patterning methods and textile-compatible flexible soldering techniques are needed to achieve complex, multilayer RF circuits. Bio-friendly fabrication approaches may further enable seamless integration of electronic functions directly into woven structures. |
| 3. | EM design: EM design for textile-based RF systems faces key challenges from mechanical deformation and environmental factors, particularly strain-induced frequency drift and impedance mismatch in low-power applications like backscattering. Future solutions should focus on adaptive impedance networks, topology-optimized structures, and conformal radiation control to maintain operational stability. The integration of reconfigurable elements with AI-assisted EM modeling and digital-twin platforms enables intelligent self-correction under dynamic conditions. |
| 4. | System integration: While many demonstrations have achieved energy harvesting, low-power communication, or localized sensing, the integration of all these functions into a lightweight, wearable, and long-duration textile system remains challenging. Future directions include co-optimized architectures that unify multi-communication, computation, and multi-information sensing within the textile, leveraging highly efficient multi-source energy harvesting. This will enable advanced low-power or even self-sustained wearable RF systems, comparable to and potentially surpassing current smartwatches and fitness bands. Ultimately, autonomous textile RF systems could serve as intelligent interfaces for health monitoring, human–machine interaction, and pervasive IoT applications. |
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |